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Yifan Wang, Jinglei Xu, Qihao Qin, Ruiqing Guan and Le Cai
In this study, we propose a novel dynamic mode decomposition (DMD) energy sorting criterion that works in conjunction with the conventional DMD amplitude-frequency sorting criterion on the high-dimensional schlieren dataset of the unsteady flow of a spik...
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Yubing Yuan, Yicai Ji, Shengbo Ye, Xiaojun Liu and Guangyou Fang
Life detection is important in earthquake rescue, but weak vital signal is susceptible to interference by clutters. Due to the undesirable characteristics of the hardware, there are two main types of clutter generated by the frequency modulation continuo...
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Chuankun Liu, Yue Hu, Fuhong Sun, Liya Ma, Wei Wang, Bin Luo, Yang Wang and Hongming Zhang
The Minjiang River is an important first-level tributary of the Yangtze River. Understanding the driving factors of water quality variations in the Minjiang River is crucial for future policy planning of watershed ecology protection of the Yangtze River....
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Alan F. Smeaton and Feiyan Hu
Periodic phenomena are oscillating signals found in many naturally occurring time series. A periodogram can be used to measure the intensities of oscillations at different frequencies over an entire time series, but sometimes, we are interested in measur...
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Alessandro Nalin, Andrea Simone, Claudio Lantieri, Umberto Rosatella, Giulio Dondi and Valeria Vignali
The need for clear and updated information is pivotal when authorities plan and perform routinary, periodic and emergency maintenance of both road network and their roadside assets, e.g., curbs, signals, and barriers. With particular regard to road barri...
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Lujie Xiong, Yanping Jiao, Fengwei Wang and Shijian Zhou
This study utilizes 27 years of sea level anomaly (SLA) data obtained from satellite altimetry to investigate spatial?temporal variations in the South China Sea (SCS). The local mean decomposition (LMD) method is applied to decompose the sea level data i...
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Guotai Wang, Xingguang Geng, Lin Huang, Xiaoxiao Kang, Jun Zhang, Yitao Zhang and Haiying Zhang
Radial pulse signals are produced by the periodic ejection of blood from the heart, and physiological and pathological information of the human body can be analyzed by extracting the time-domain characteristics of pulse waves. However, since pulse signal...
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Piero Mazzetti and Anna Carbone
Periodic and non-periodic components of electrophysiological signals are modelled in terms of syncronized sequences of closed loops of firing neurons correlated according to a Markov chain. Single closed loops of firing neurons reproduce fundamental and ...
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Reza Soleimani and Edgar Lobaton
Physiological and kinematic signals from humans are often used for monitoring health. Several processes of interest (e.g., cardiac and respiratory processes, and locomotion) demonstrate periodicity. Training models for inference on these signals (e.g., d...
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Muaayed F. Al-Rawi,Izz K. Abboud,Nasir A. Al-Awad
Pág. 16 - 20
This paper examined a novel approach to the DSP of sinusoids with MATLAB using the Discrete Fourier Transform. A sinusoid is a mathematical curve that describes a smooth periodic oscillation, and it can be used to study and solve many real-world problems...
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